Singapore
I've shipped production AI from both sides—selling it and building it. At Teralytics (ML on spatio-temporal data at scale), I was Head of Asia—GTM and a 10+ data science/engineering team reporting to me, shipping city-scale mobility analytics for governments and enterprises. Multi-million dollar deals, the largest in the company. At AWS, I was AI/ML GTM lead for ASEAN—customer engagements across fraud detection, recommendation, and computer vision, including the largest ride-hailing company in Southeast Asia. As founding Head of Product & Engineering at minden.ai (yuu), I built product, engineering, data/ML, and cybersecurity from zero to 40+ people. Shipped to 1M users in 100 days (Google Play Best of 2023). AI I designed—embeddings, RAG, causal inference, contextual bandits, and generative AI for personalization—delivered 10%+ revenue uplift in production. Technical: Python, PyTorch, LLM APIs, RAG, embeddings, distributed systems, AWS (SageMaker, Glue), Snowflake, Kafka. Still hands-on—current project: LLMCouncil CLI, extending Karpathy's concept with multi-turn debate and file upload. Now: Temasek AI Pod. Trusted technical advisor to portfolio company leadership on GenAI strategy and architecture—running architecture sessions, helping teams decide copilot vs autonomous, RL vs LLM, and designing human-feedback loops for model improvement. I know what separates AI that ships from AI that stalls. Looking for Principal/Staff AI Solution Architect or Head of Applied AI roles at platform companies. Singapore or within a two-hour flight.
Trusted technical advisor to portfolio company leadership on GenAI strategy, product architecture, and implementation. - Led AI due diligence across healthcare, gaming, and hedge fund investments—improved thesis quality and risk framing - Architected evaluation frameworks for causal AI, generative media, and agentic systems - Contributed to >$1B deployed across direct investments, fund allocations, and complex take-privates
Built product, engineering, data, ML, and cybersecurity from zero to 40+ people. Now advising on AI/product strategy. My reflections at https://zwritesai.substack.com/s/my-final-commit/ Results: - Shipped to 1M users in 100 days; now 2M+. #1 on App Store launch week; Google Play Best of 2023 - AI I designed—embeddings, RAG, causal inference, contextual bandits, generative AI for personalization—delivered 10%+ revenue uplift in production - Led Big Bang launch across 1,000+ retail stores with bank and POS integration; no SEV1 incidents for 15+ months Technical: - Architected distributed systems, AWS lakehouse, data mesh - Instituted trunk-based CI, observability culture, Amazon-style WBRs Leadership: - Scaled cross-functional org across product, engineering, data, ML, cybersecurity - Transitioned to Technical Advisor (2024) after handing off to successor I mentored
Customer-facing AI/ML GTM lead for Southeast Asia. - Led customer engagements across fraud detection, recommendation, and computer vision—including the largest ride-hailing company in Southeast Asia - Delivered a high-pressure POC in 5 weeks (2 sprints) with a cross-functional team—business outcomes achieved under tight constraints - Ran discovery, demos, and architecture sessions; closed deals from $100K to $500K+ - Partnered with Solutions Architects and Applied Scientists to translate customer problems into AWS AI/ML solutions
Built the Asia business from zero — GTM and a 10+ data science/engineering team reporting to me. - Led the architecture and delivery of city-scale real-time mobility analytics—processing billions of telco/GPS events daily using Spark/Hadoop clusters - Verticals: retail, smart transportation, smart cities - Closed multi-million dollar deals, the largest in the company - Drove technology adoption: big data processing, infrastructure-as-code, continuous delivery - Led multi-cultural team of PhDs and senior engineers across multiple countries